• DocumentCode
    2459700
  • Title

    Biometric fingerprint authentication with minutiae using ridge feature extraction

  • Author

    Lomte, Archana C.

  • Author_Institution
    Dept. of Comput., Jspm´s Bhivrabai Sawant Inst. of Technol. & Res., Pune, India
  • fYear
    2015
  • fDate
    8-10 Jan. 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Fingerprint matching is done using many ways, for example considering ridge features. As an extension we propose to use bifurcations along with ridge patterns. The ridges along with bifurcations are considered as minutiae. These minutiae along with their position (i.e. x and y co-ordinates) and orientations are saved as features. We propose a novel matching scheme to detect the matched minutiae pairs incrementally. Following that, the maximum score is computed and used as the final matching score of two fingerprints.
  • Keywords
    bifurcation; feature extraction; fingerprint identification; image matching; bifurcations; biometric fingerprint authentication; fingerprint matching; minutiae pair matching; ridge feature extraction; Authentication; Bifurcation; Estimation; Feature extraction; Fingerprint recognition; Image matching; Nonlinear distortion; Breadth first search; Minutiae; Preprocessing Steps; Ridge based coordinate system; Ridge feature; Ridge-Count;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing (ICPC), 2015 International Conference on
  • Conference_Location
    Pune
  • Type

    conf

  • DOI
    10.1109/PERVASIVE.2015.7087178
  • Filename
    7087178